Custom Translator Model - Creating and Uploading the Dataset
Explore the process of building a custom translator model using Azure Language Cognitive Services. Understand how to create a workspace, set up a project, and upload phrase dictionary datasets to prepare your model for training and deployment.
We'll cover the following...
Introduction
So far we’ve used the already trained translator service from Azure. In this lesson, we’ll build a custom translator that will translate English text to Spanish text. We’ll use the Custom Translator portal to build and deploy this model.
To work on this chapter, you’ll need a Standard tier subscription to the translator service. You will only be able to train the custom model in the Free tier. To deploy the custom translator model for consumption, you would need to have a Paid subscription.
Implementation
Now let’s move on to the implementation in a step-by-step manner.